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Plant disease diagnosis using deep transfer learning architectures- VGG19, MobileNetV2 and Inception-V3
(Brac University, 2022-05)
The importance of a tree’s involvement in human life and the environment cannot
be overstated. Plants, like humans and animals, are susceptible to disease.
Many vegetation diseases might impair a plant’s healthy development. ...
An efficient deep learning approach to detect skin cancer using image data
(Brac University, 2023-01)
We propose and demonstrate an efficient deep learning approach to classify skin can cer using image data. The proposed approach is composed of several stages which
are data acquisition, preprocessing and classification. ...
Damaged road detection using Image Processing and Deep Learning
(Brac University, 2022-01)
Computer Science has evolved enormously in the last few decades. It has now far
exceeded the Human and Computer interfaces. Its recent sights are scaling, measuring, object detection, etc. Image processing and deep learning ...
An interpretable deep learning approach to detect Alzheimer using MRI images
(Brac University, 2023-01)
Alzheimer’s disease (AD) is a serious neurological condition that causes loss of long term memory, cognitive difficulties, disorientation, inconsistent behavior, and even tually death. Also, AD is caused by the destruction ...
Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
(Brac University, 2022-05)
The internet of things is one of today’s most revolutionary technologies. Because
of its pervasiveness, increasing network connection capacity, and diversity of linked
items, the internet of things (IoT) is adaptable and ...
Classification of peripheral blood cell images using deep learning
(Brac University, 2023-01)
Diagnosis and Identification of cells and disease infected cells are and important
part of in medical science that bears huge significance even today. There are health
implications can often be identified my observing ...
Skin disease detection and classification using deep learning
(Brac University, 2022-01)
Skin Diseases have been the primary focus of this study, as they are one of the
most lethal diseases if not diagnosed and treated early. The research will enable
the fields of Medical Science and Computer Science to ...
Occluded object detection for autonomous vehicles employing YOLOv5, YOLOX and Faster R-CNN
(Brac University, 2022-05)
Autonomous vehicles [AVs] are the future of transportation and they are likely to
bring countless benefits compared to human-operated driving. However, there are
still a lot of advances yet to be made before these vehicles ...
Automatic brain tumor segmentation using U-ResUNet chain model approach
(Brac University, 2021-09)
Identifying brain tumors precisely within the early stage is still a challenging problem
for the medical sector consistent with recent research. In a previous research
approved by Cancer. Net Editorial Board, it was ...
Corn leaf disease detection using deep convolution neural network
(Brac University, 2023-01)
Detecting corn leaf diseases helps farmers identify and treat impacted crops. Early
disease identification reduces crop loss. Manual leaf diagnostic imaging takes time
and is prone to mistakes. This thesis proposes a ...